Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
Job Description
We are
seeking
a
Data Scientist
to develop
next-generation Security Analytics products
. You will work closely with engineers and product managers to
prototype, design, develop, and
optimize
data-driven security solutions.
The ideal candidate has a strong background in
machine learning,
especially in the NLP/GenAI domain.
Responsibilities
:
Design, develop, and deploy
Machine Learning models.
Collaborate with
Product Management
and cross-functional stakeholders to define problem statements, develop solution strategies, and design scalable
ML systems
.
Leverage Large Language Models (LLMs) to build
GenAI
capabilities
to drive business impact.
Create
insightful data visualizations
, technical reports, and presentations to communicate findings to technical and non-technical audiences.
Deploy ML models in production and implement
monitoring frameworks
to ensure model performance, stability, and continuous improvement.
Requirements:
BS, MS, or Ph.D.
in
Computer Science, Statistics
, or a related field
.
2-5 years
of experience in
Machine Learning
projects, including model development, deployment, and optimization.
Deep understanding of
ML algorithms
, their
mathematical foundations
, and real-world trade-offs.
E
xpertise
in
N
LP
techniques
like
Named Entity Recognition
,
I
nformation
Retrieval,
Text
classification, Text-to-Text
Generation
etc.
Familiarity and working experience of
GenAI
applications
,
Experience with
prompting,
fine
-tuning
and
optimizing
LLMs.
Knowledge of recent advancements and trends in
GenAI
,
demonstrating
a commitment to
continuous learning
in this rapidly evolving field.
Hands-on experience with
ML frameworks
such as
Scikit-Learn, TensorFlow,
PyTorch
,
LangChain
,
vLLM
etc.
Strong programming skills in
Python
and/or Java
.
Experience in
SQL, Pandas, and
PySpark
for efficient
data manipulation.
Familiarity with
microservice architectures
, CI/CD,
MLOps
best practices.
Strong
communication
, problem-solving, and analytical skills
; a collaborative
team player
.
Nice to Have:
Familiarity with
distributed computing frameworks
such as
Hadoop, Spark, and OpenSearch
.
Published research
in AI/ML in
peer-reviewed journals or top conferences
(e.g.,
NeurIPS
, ICML, CVPR).
Prior experience applying
AI/ML to cybersecurity use cases
.
Basic
proficiency
in
Unix/Linux environments
for
scripting and automation
.
